Matthew Feider is Sr. Manager of Physical & Edge AI at T-Mobile, where he leads product, solution architecture, and business development — building T-Mobile's physical and edge AI business from the ground up.
Matthew designed T-Mobile's Physical & Edge AI initial business model — and is now responsible for scaling its products, building the platform, and forming the teams to drive its growth. His work sits at the intersection of cutting-edge infrastructure and real-world AI deployment, defining what's possible at the edge of the network.
Before this role, Matthew spent time in T-Mobile's Strategy & Corporate Development team, working on data-focused advertising products, mobile-broadband convergence, and streaming strategy. Before T-Mobile, he held commercial roles at SaaS and PE/VC-backed firms in market research and equity management.
Matthew holds an MBA from the University of Chicago Booth and a BA in Finance from the University of Washington. He lives in Seattle with his wife, son, and dog.
Recent Videos
Six Five Summit Sessions

T-Mobile for Business on The Intelligent Edge Enters Its Operational Era
As enterprises move from edge experimentation to real-world operational deployment, the conversation around the intelligent edge is becoming far more focused on execution, scalability, and operational simplicity. In this conversation, the evolving operational reality of AI-driven edge environments takes center stage, including how organizations are managing distributed applications, reducing infrastructure complexity, and building more resilient connectivity strategies. The discussion will also explore what enterprises are still underestimating as AI workloads increasingly demand real-time, distributed intelligence at scale.
